In this article, we draw attention to the benefits of including a mechanism for the wholesale trading of contracts in delivering cloud services to mirror that of delivering electricity. Plus, we argue that it is possible for the cloud market to avoid the plethora of mistakes experienced in the many deregulated wholesale electricity markets globally. We also detail features from certain electricity markets that have led to attractive market attributes, such as increased competition, price transparency, and increased resilience to external shocks. Moreover, we leverage the analogy to explain how we can replicate such features for a global IaaS cloud computing market.

This Advisor reflects on the technology evolution of data warehouses and data lakes as well as the evolution of computer-assisted decision making, including data exploration, analytics, and decision support. Arguably, the data warehouse still serves an important purpose and will continue to have a significant place in the IT infrastructure. It is important, how­ever, to consider new technologies to support the need for real-time data, dynamic data warehouses, self-service business analytics, and algorithmic decision making.

For a scrum team to be successful, it is important to learn of and solve problems as they occur. As we work together, we express how we’re doing, what’s in our way, and our concerns so they can be addressed. It’s an ongoing process of improvement from sprint to sprint. There are as many team dynamics as there are teams, so sometimes getting started is awkward if people feel uncomfortable opening up. As we explore in this Advisor, sustained success demands a brave willingness to be “all in.”

During this on-demand webinar, you'll explore how to overcome the barriers to innovation using a Breakthrough Incubator model. You'll learn how to use a breakthrough incubator—an external partner that manages networks of collaborators—to accelerate the creation of new business propositions, and to overcome the barriers to innovating radical, non-core products and/or services at your organization. (Not a member? For a limited time, guests can watch the recorded webinar here.) 

Gone are the days that an organization could plan for sustainable competitive advantage and build a five-year (or even three-year) strategic plan. The business environment has become ever-more chaotic, dynamic, and disruptive. Enter agility, as the new capability to develop transient competitive advantage with shorter planning and execution cycles. Welcome to the age of “agilification.” In this Advisor, the authors touch on the important interplay among leadership, culture, business architecture, and digital architecture.

Customer expectations have never been higher, and they are forcing companies across almost every industry to rethink their approaches to commerce, marketing, sales, and, in particular, customer engagement, service, and support. The result is that companies are taking a great deal of interest in all things related to the experience customers encounter when dealing with their businesses.

The simple reason we cannot see (or perhaps refuse to see) a paradigm shift upon us is because we tend to look at the world through the old paradigm. So perhaps all we need to do to meet tomorrow’s problems is to stop using yesterday’s thinking. This Executive Update is a call for the acceptance of complexity and the introduction of interdisciplinary thinking to all aspects of life, starting with software engineering as the guinea pig. By seeking to understand complexity instead of hiding it, we can build better-quality software with less stress.

Value-stream mapping is a useful tool that forces tech teams to focus on activities that add the most value for the customer, rather than those that are recommended in some textbook, or that employ a hot new technology a senior person happens to want to learn, or that use a development method that will look good when reporting to the CIO. However, too often advocates of this laudable technique have been operating on long-discredited ideas of which economic activities “add value” and which ones do not.

As companies adopt Agile as their standard for software development, they usually encounter resistance from several directions — from other parts of IT as well as from the business. We often see organizations struggling with cultural change, insufficient business involvement, and other aspects of scaling. To overcome these challenges, some organizations use ways that worked for them in the past, but in an Agile context this results in counterproductive outcomes. These anti-patterns are hard to root out and tend to reappear. In this Advisor, we highlight two of the most common Agile anti-patterns.

Data governance, a broad and very expansive subject, potentially applies every time there is a transition between data states (i.e., contextual, temporal, or geographic) or when data is accessed. Currently, adoption of data governance policies tends to be passive and non-active rather than overt or proactive. In other words, data governance is the default, out-of-the-box governance that requires no action. But today we have the opportunity to create more individualized overt and proactive data governance policies that meet the specific needs and requirements of a corporation. Indeed, the issues of responsibility and liability for keeping data while it is at rest or in motion are beginning to dominate many conversations about data.

Here, in Part VII, we continue examining industries and domains where organizations see AI having its most significant impact.

Here, in Part VII, we continue examining industries and domains where organizations see AI having its most significant impact.

Participate in our study on how organizations are adopting or planning to adopt CX management practices and technologies and what they see as the possible impacts on their businesses. In particular, we want to determine the actual current status of CX efforts within organizations and what their plans are for utilizing CX in the future.

Participate in our study on how organizations are adopting or planning to adopt CX management practices and technologies and what they see as the possible impacts on their businesses. In particular, we want to determine the actual current status of CX efforts within organizations and what their plans are for utilizing CX in the future.

Applying the principles of “loosely coupled” to master data and containing fragmentation within a framework that governs the collaboration process will lead to the design patterns of solutions that fit the collaboration process. This is designed fragmentation, or “connected architecture.” This framework — a thought process more than a recipe — is described in this Advisor.

Today, analytics and computerized decision support can help managers make better choices in semistructured and even unstructured situations. Managers should be curious and seek evidence and answers from data for previously unasked and/or unanswered questions. Indeed, as this Advisor explains, they should become data explorers and sophisticated decision support users.

In this Advisor, we identify five key success factors for realizing the benefits of a Breakthrough Incubator implementation.

In this Advisor, the author describes the conflicting demands on today’s CDO, who must cover “operational data management” as well as “data management for analytical insight.” He shows the importance of caring for the quality of the data, understanding its provenance and pedigree, minimizing the transformations, and adding semantic understanding of the data.

Software architecture requires balance. Often, you can focus too much on it, creating robust products that miss customer needs or over-engineer solutions. Conversely, especially in Agile contexts, you can under-engineer things and your product efforts can succumb to relent­less refactoring rework. So there’s a balance to strike in architecture, no matter what methodology you use to create your software. In Agile contexts, that balance is often lost. And it usually leans to less over more. In this Advisor, I describe a rule that has helped me successfully strike the right balance between Agile and architecture: chaos is constant, so continuously refactor.

Artificial intelligence has many applications in supply chain and logistics. These range from automating the analysis and reporting on global supply chain activities and optimizing supply chain planning and execution to predictive applications for scheduling, strategic sourcing, and remote monitoring and predictive maintenance. This Advisor describes the major drivers for applying AI in the supply chain, including demand for greater visibility and transparency into supply chain data, processes, and execution, and a need to reduce risk and satisfy customer demands.

Discover how an organization can truly engage its people by understanding their behaviors, and how balancing empowerment, vision, engaged leadership, tolerance for failure, tangible incentives, and the belief that transformation can actually happen and can ensure successful digital change.

The path to becoming a digital company is difficult and the challenges are multifold. It means ensuring customers remain connected even with the drastic changes that may be needed and overcoming resistance to new business models. Becoming digital does not simply mean implementing new technology; it also requires developing new leadership skills combined with connectivity among a company’s people, proc­esses, and data. Cultural changes may also be a challenge if the digital transformation must cut across silos in the organization. This Advisor’s case study examines the implementation of a digital change in a US community bank meant to retain its loyal customer base and to put in place newer ways of monetization.

There is a giant universal mental challenge when it comes to agilifying. Yet the goal of the modern organization is to rebuild itself all the time. Agility can mean different things to different people, and it should. Still, it is important to vividly understand its various meanings and to allow the organization to be aware of these meanings and then prioritize them. This Advisor offers some con­crete ways in which we can both shift our perspectives and act to “agilify” our organizations.

Line-of-business (LOB) applications are at the center of most large enterprises. These are the applications we don’t think about and we don’t appreciate, but they’re the glue that keeps an organization functioning. They are the boring applications that drive internal processes, but the more LOB apps an enterprise has, the more technology it employs and the more productive it is.

Much of the wisdom, books, academic papers, and so on, concerning Agile, focus at the team level. Yet an Agile transformation focuses on the adoption of Agile principles at the business or organizational level. Agile transformation, therefore, presents senior leaders with challenges they need to work out for themselves without such recommendations. The temptation is to reach out to their traditional business advisors; however, as this Executive Update illustrates, this may not be the optimal path.